mpSTATIS.preprocess: mpSTATIS.preprocess: Preprocessing for STATIS

In MExPosition: Multi-table ExPosition

Description

Combines all preprocessing choices, and prepares the data for STAITS processing.

Usage

mpSTATIS.preprocess(data, column.design = NULL, row.design = NULL, 
  row.preprocess = 'None', column.preprocess = 'None', table.preprocess = 'None', 
  make.columndesign.nominal = TRUE, make.rowdesign.nominal = TRUE)

Arguments

data	Data Matrix
column.design	Matrix which identifies the tables.
row.design	Matrix which identifies the groups
row.preprocess	String option for row preprocessing with the following options: 'None' (default), 'Profile', 'Hellinger', 'Center' and 'Center_Hellinger'
column.preprocess	String option for column preprocessing with the following options: 'None' (default), 'Center', '1Norm', 'Center_1Norm' and 'Z_Score'
table.preprocess	String option for table preprocessing with the following options: 'None' (default), 'Num_Columns', 'Tucker', 'Sum_PCA', 'RV_Normalization' and 'MFA_Normalization'
make.columndesign.nominal	a boolean. If TRUE (default), table is a vector that indicates groups (and will be dummy-coded). If FALSE, table is a dummy-coded matrix.
make.rowdesign.nominal	a boolean. If TRUE (default), table is a vector that indicates groups (and will be dummy-coded). If FALSE, table is a dummy-coded matrix.

Details

This function calls all the preprocessing functions and consolidates the results. In addition it prepares the group matrix, and gets the data ready for processing.

Value

data.preprocessed	Matrix of the Preprocessed Data
num.obs	Number of Observations
col.groups	Original matrix which was selected in the initial step
groupMatrix	Matrix which identifies the Tables
numgroups	Number of Tables
table.ids	Table IDs
row.preprocess	Option of row preprocessing selected
column.preprocess	Option of column preprocessing selected
table.preprocess	Option of table preprocessing selected

Author(s)

Cherise R. Chin Fatt [e-mail]

References

Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012). STATIS and DISTATIS: Optimum multi-table principal component analysis and three way metric multidimensional scaling. Wiley Interdisciplinary Reviews: Computational Statistics, 4, 124-167

See Also

mpSTATIS.rowPreproc, mpSTATIS.columnPreproc, mpSTATIS.tablePreproc

Examples

X <- matrix(1:10,2)
Y<- as.matrix(c('g1','g1','g1','g2','g2'))
row.preprocess='Center'
column.preprocess='Center'
table.preprocess='Sum_PCA'
preproc <-mpSTATIS.preprocess(X, column.design = t(Y), row.preprocess = row.preprocess,
 column.preprocess = column.preprocess, table.preprocess = table.preprocess)

MExPosition documentation built on May 29, 2017, 2:27 p.m.